Assessment of Microbial Community Structure and Function in Serially Passaged Wastewater Electro-Bioreactor Sludge: An Approach to Enhance Sludge Settleability

Abstract

Several studies have been carried out to understand bulking phenomena and the importance of environmental factors on sludge settling characteristics. The main objective of this study was to carry out functional characterization of microbial community structure of wastewater electro-bioreactor sludge as it undergoes serial passaging in the presence or absence of a current density over 15 days. Illumina MiSeq sequencing and QIIME were used to assess sludge microbial community shifts over time. (α) and (β) diversity analysis were conducted to assess the microbial diversity in electro-bioreactors. A phylogeny-based weighted UniFrac distance analysis was used to compare between bacterial communities while BIO-ENV trend and Spearman’s rank correlation analysis were performed to investigate how reactor operational parameters correlated with bacterial community diversity. Results showed that the removal efficiency of soluble chemical oxygen demand (sCOD) ranged from 91–97%, while phosphorous (PO43−-P) removal was approximately 99%. Phylogenetic analysis revealed stark differences in the development of sludge microbial communities in the control and treatment reactor. There was no mention of any studies aimed at characterizing functional microbial communities under electric field and the results communicated here are the first, to our knowledge, that address this gap in the literature.

An approach to increase the success rate of cultivation of soil bacteria based on fluorescence-activated cell sorting

“…Within each of these families, nearly all the sequencing reads belonged to the genera Pseudomonas, Flavobacterium, Chryseobacterium, and Pedobacter, respectively. It should be noted that the aforementioned taxonomic groups are among the most common readily culturable soil bacteria (Pseudomonas, Flavobacterium, and Pedobacter) [49] and have been found in soil rich in hydrocarbon pollutants (Pseudomonadaceae, Flavobacteriaceae, and Weeksellaceae) [50]. This taxonomic profiling seemed consistent with the environmental history of the soil, as the sample was obtained from a site notorious for its past coal and oil mining industry [personal communication].…”

Biovalorisation of liquid and gaseous effluents of oil refinery and petrochemical industry

“…However, for a more in-depth understanding of the microbial communities involved, Illumina sequencing should be done to identify the shift in microbial community of the CO/syngas fermenting microorganisms (Elnaker et al, 2018).…”

Development of a Universal Fluorescent Probe for Gram‐Positive Bacteria

“…Bacteria constitute the microbial ecosystem in and around our body and also in the environment with immense diversity and complexity . Classification of bacteria is the fundamental first step for bacterial taxonomy determination and is mainly based on the differences in cellular composition, cellular metabolism, and cellular structure.…”

“…[1][2][3][4] Classification of bacteria is the fundamental first step for bacterial taxonomy determination and is mainly based on the differences in cellular composition, cellular metabolism, and cellular structure.G enetic analysis approaches,such as PCR (polymerase chain reaction), [5] FISH (fluorescence in situ hybridization), [6] and NGS (next generation sequencing) [7,8] are powerful techniques for the identification of bacteria, but these are often inappropriate in clinical diagnosis and wastewater treatment, which require ar apid diagnosis and in situ monitoring, due to the heavy preparative work and the huge amount of data required for in-depth analysis . Gram staining has been the gold standard technique for bacterial classification based on the different physical properties of the bacterial cell-wall structure. [1][2][3][4] Classification of bacteria is the fundamental first step for bacterial taxonomy determination and is mainly based on the differences in cellular composition, cellular metabolism, and cellular structure.G enetic analysis approaches,such as PCR (polymerase chain reaction), [5] FISH (fluorescence in situ hybridization), [6] and NGS (next generation sequencing) [7,8] are powerful techniques for the identification of bacteria, but these are often inappropriate in clinical diagnosis and wastewater treatment, which require ar apid diagnosis and in situ monitoring, due to the heavy preparative work and the huge amount of data required for in-depth analysis . Gram staining has been the gold standard technique for bacterial classification based on the different physical properties of the bacterial cell-wall structure.…”